SG11201901668RA - Detection of anomalies in multivariate data - Google Patents
Detection of anomalies in multivariate dataInfo
- Publication number
- SG11201901668RA SG11201901668RA SG11201901668RA SG11201901668RA SG11201901668RA SG 11201901668R A SG11201901668R A SG 11201901668RA SG 11201901668R A SG11201901668R A SG 11201901668RA SG 11201901668R A SG11201901668R A SG 11201901668RA SG 11201901668R A SG11201901668R A SG 11201901668RA
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- Singapore
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- data
- chicago
- coordinate space
- suite
- international
- Prior art date
Links
- 238000001514 detection method Methods 0.000 title abstract 2
- 235000018936 Vitellaria paradoxa Nutrition 0.000 abstract 1
- 238000005516 engineering process Methods 0.000 abstract 1
- 238000000034 method Methods 0.000 abstract 1
- 230000008520 organization Effects 0.000 abstract 1
Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
- G06F18/213—Feature extraction, e.g. by transforming the feature space; Summarisation; Mappings, e.g. subspace methods
- G06F18/2135—Feature extraction, e.g. by transforming the feature space; Summarisation; Mappings, e.g. subspace methods based on approximation criteria, e.g. principal component analysis
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
- G06F18/243—Classification techniques relating to the number of classes
- G06F18/2433—Single-class perspective, e.g. one-against-all classification; Novelty detection; Outlier detection
Landscapes
- Engineering & Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Theoretical Computer Science (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Artificial Intelligence (AREA)
- Evolutionary Biology (AREA)
- Evolutionary Computation (AREA)
- Bioinformatics & Computational Biology (AREA)
- General Engineering & Computer Science (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Testing And Monitoring For Control Systems (AREA)
- Complex Calculations (AREA)
- Collating Specific Patterns (AREA)
Abstract
WO 18/0 45 241 A2 (12) INTERNATIONAL APPLICATION PUBLISHED UNDER THE PATENT COOPERATION TREATY (PCT) (19) World Intellectual Property Organization International Bureau (43) International Publication Date 08 March 2018 (08.03.2018) W I PO I PCT 0111111010 0111 °nolo III o DID IH oiniou oimiE (10) International Publication Number WO 2018/045241 A2 Receive Observation Data 1102 Transform Observation Data from Original Coordinate Space to Transformed Coordinate Space 1104 Standardize Transformed Observation Data 1106 (51) International Patent Classification: Not classified (21) International Application Number: PCT/US2017/049749 (22) International Filing Date: 31 August 2017 (31.08.2017) (25) Filing Language: English (26) Publication Language: English (30) Priority Data: 62/382,629 01 September 2016 (01.09.2016) US 15/367,012 01 December 2016 (01.12.2016) US (71) Applicant: UPTAKE TECHNOLOGIES, INC. [US/US]; 600 West Chicago Ave., Suite 620, Chicago, Illi- nois 60654 (US). (72) Inventors: FINEIS, Frank; 600 West Chicago Ave., Suite 620, Chicago, Illinois 60654 (US). HORRELL, Michael; 600 West Chicago Ave., Suite 620, Chicago, Illinois 60654 (US). LI, Tuo; 600 West Chicago Ave., Suite 620, Chicago, Illinois 60654 (US). HERZOG, James; 600 West Chicago Ave., Suite 620, Chicago, Illinois 60654 (US). (74) Agent: SHEA, Rory; Lee Sullivan Shea & Smith LLP, 224 N Desplaines St., Suite 250, Chicago, Illinois 60661 (US). (81) Designated States (unless otherwise indicated, for every kind of national protection available): AE, AG, AL, AM, AO, AT, AU, AZ, BA, BB, BG, BH, BN, BR, BW, BY, BZ, CA, CH, CL, CN, CO, CR, CU, CZ, DE, DJ, DK, DM, DO, DZ, EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, GT, HN, HR, HU, ID, IL, IN, IR, IS, JO, JP, KE, KG, KH, KN, KP, KR, KW, KZ, LA, LC, LK, LR, LS, LU, LY, MA, MD, ME, MG, MK, MN, MW, MX, MY, MZ, NA, NG, NI, NO, NZ, OM, PA, PE, PG, PH, PL, PT, QA, RO, RS, RU, RW, SA, SC, SD, SE, SG, SK, SL, SM, ST, SV, SY, TH, TJ, TM, TN, TR, TT, TZ, UA, UG, US, UZ, VC, VN, ZA, ZM, ZW. (84) Designated States (unless otherwise indicated, for every kind of regional protection available): ARIPO (BW, GH, GM, KE, LR, LS, MW, MZ, NA, RW, SD, SL, ST, SZ, TZ, UG, ZM, ZW), Eurasian (AM, AZ, BY, KG, KZ, RU, TJ, TM), European (AL, AT, BE, BG, CH, CY, CZ, DE, DK, EE, ES, FI, FR, GB, GR, HR, HU, IE, IS, IT, LT, LU, LV, MC, MK, MT, NL, NO, PL, PT, RO, RS, SE, SI, SK, SM, TR), OAPI (BF, BJ, CF, CG, CI, CM, GA, GN, GQ, GW, KM, ML, MR, NE, SN, TD, TG). (54) Title: DETECTION OF ANOMALIES IN MULTIVARIATE DATA (57) : Disclosed herein are systems, devices, and methods for detecting 100 anomalies in multivariate data received from an asset-related data source, such as sig- nal data and/or other data from an asset. According to an example, a platform may receive multivariate data from an asset in an original coordinate space and transform the data in the original coordinate space to a transformed coordinate space having a relatively fewer number of dimensions. Additionally, the platform may standardize the data in the transformed coordinate space and modify the standardized data based on a comparison between the standardized data and a set of threshold values previously defined via training data reflective of normal asset operation. Thereafter, the platform may inversely transform the modified data back to the original coordinate space and perform an analysis to detect anomalies. Compare Standardized Observation Data to Set of Threshold Values 1108 Based on Comparison Modify Standardized Observation Data 111n Inversely Transform Modified Observation Data Back to Original Coordinate Space 1112 Analyze Post-Transformation Observation Data in Original Coordinate Space 1114 FIG. 11 [Continued on next page] WO 2018/045241 A2IMMO11111 1I11E111 IIENIIMMIMMOII111111EMIE Published: without international search report and to be republished upon receipt of that report (Rule 48.2(g))
Applications Claiming Priority (3)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US201662382629P | 2016-09-01 | 2016-09-01 | |
US15/367,012 US10474932B2 (en) | 2016-09-01 | 2016-12-01 | Detection of anomalies in multivariate data |
PCT/US2017/049749 WO2018045241A2 (en) | 2016-09-01 | 2017-08-31 | Detection of anomalies in multivariate data |
Publications (1)
Publication Number | Publication Date |
---|---|
SG11201901668RA true SG11201901668RA (en) | 2019-03-28 |
Family
ID=61242842
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
SG11201901668RA SG11201901668RA (en) | 2016-09-01 | 2017-08-31 | Detection of anomalies in multivariate data |
Country Status (9)
Country | Link |
---|---|
US (1) | US10474932B2 (en) |
EP (1) | EP3507744A4 (en) |
JP (1) | JP2019537764A (en) |
KR (1) | KR20190039299A (en) |
CN (1) | CN109716356A (en) |
AU (1) | AU2017321799A1 (en) |
CA (1) | CA3035207A1 (en) |
SG (1) | SG11201901668RA (en) |
WO (1) | WO2018045241A2 (en) |
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US8786605B1 (en) | 2013-10-24 | 2014-07-22 | Palantir Technologies Inc. | Systems and methods for distance and congestion-aware resource deployment |
US8832594B1 (en) | 2013-11-04 | 2014-09-09 | Palantir Technologies Inc. | Space-optimized display of multi-column tables with selective text truncation based on a combined text width |
US8868537B1 (en) | 2013-11-11 | 2014-10-21 | Palantir Technologies, Inc. | Simple web search |
US10410116B2 (en) | 2014-03-11 | 2019-09-10 | SparkCognition, Inc. | System and method for calculating remaining useful time of objects |
US8924429B1 (en) | 2014-03-18 | 2014-12-30 | Palantir Technologies Inc. | Determining and extracting changed data from a data source |
-
2016
- 2016-12-01 US US15/367,012 patent/US10474932B2/en active Active
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2017
- 2017-08-31 KR KR1020197008006A patent/KR20190039299A/en unknown
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- 2017-08-31 CA CA3035207A patent/CA3035207A1/en active Pending
- 2017-08-31 AU AU2017321799A patent/AU2017321799A1/en not_active Abandoned
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AU2017321799A1 (en) | 2019-04-11 |
EP3507744A4 (en) | 2020-04-08 |
WO2018045241A3 (en) | 2019-04-04 |
WO2018045241A2 (en) | 2018-03-08 |
JP2019537764A (en) | 2019-12-26 |
CN109716356A (en) | 2019-05-03 |
US10474932B2 (en) | 2019-11-12 |
KR20190039299A (en) | 2019-04-10 |
CA3035207A1 (en) | 2018-03-08 |
EP3507744A2 (en) | 2019-07-10 |
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